{"id":3020,"date":"2026-11-06T01:33:45","date_gmt":"2026-11-06T01:33:45","guid":{"rendered":"https:\/\/www.kingbaseglobal.com\/blog\/tech-blog\/converged-database-fair-evaluation-criteria\/"},"modified":"2026-11-06T01:33:45","modified_gmt":"2026-11-06T01:33:45","slug":"converged-database-fair-evaluation-criteria","status":"publish","type":"post","link":"https:\/\/www.kingbaseglobal.com\/blog\/tech-blog\/converged-database-fair-evaluation-criteria\/","title":{"rendered":"converged database_ fair evaluation criteria"},"content":{"rendered":"

\"Brass<\/p>\n

Converged Database Selection: A Fair Evaluation Framework for Malaysian Enterprises<\/h2>\n

Enterprise IT leaders in Malaysia are increasingly confronting the structural inefficiencies of maintaining separate systems for transactional (OLTP) and analytical (OLAP) workloads. The traditional approach of replicating data from operational databases to data warehouses introduces significant latency, high ETL (Extract, Transform, Load) costs, and complex data silos. For organizations requiring real-time decision-making, this latency is no longer an acceptable trade-off.<\/p>\n

The core problem is not merely technical debt but business agility. When reporting relies on batch-processed data, insights are historical rather than immediate. In sectors like healthcare, manufacturing, and finance, the inability to query operational data in real-time hinders critical functions such as fraud detection, inventory optimization, and patient care coordination.<\/p>\n

Consolidating these workloads into a single architecture is no longer just an infrastructure optimization strategy; it is a requirement for operational resilience and cost control.<\/p>\n

Deconstructing HTAP: Kernel-Level Convergence vs. Wrapped Engines<\/h2>\n

Not all databases claiming "convergence" are architecturally equivalent. The market contains two distinct categories: true converged databases and hybrid architectures with wrapped engines. Understanding this distinction is critical for fair evaluation.<\/p>\n

A converged database<\/strong> integrates OLTP and HTAP (Hybrid Transactional\/Analytical Processing) within a single kernel. This architecture allows data to be processed and analyzed in place, eliminating the need for external ETL pipelines. In contrast, "wrapped" solutions often layer an OLAP engine on top of an OLTP system or connect disparate engines via middleware. While these can reduce some data movement, they frequently suffer from resource contention and lack the seamless consistency of a single-kernel approach.<\/p>\n

KingbaseES<\/strong> is a commercial enterprise-grade relational database that utilizes kernel-level fusion technology. This approach enables multi-load collaborative processing, including OLTP and HTAP, within the same engine. This design breaks data silos by allowing transactional and analytical queries to execute concurrently without the overhead of external data replication.<\/p>\n\n\n\n\n\n\n\n\n
Feature<\/th>\nTrue Converged Database (Single Kernel)<\/th>\nWrapped\/Hybrid Architecture<\/th>\n<\/tr>\n<\/thead>\n
Data Storage<\/strong><\/td>\nUnified storage for transactions and analytics<\/td>\nSeparate storage layers; data must be moved or mirrored<\/td>\n<\/tr>\n
Consistency<\/strong><\/td>\nStrong consistency across workloads<\/td>\nPotential for eventual consistency or replication lag<\/td>\n<\/tr>\n
Resource Usage<\/strong><\/td>\nShared kernel resources with isolation controls<\/td>\nSeparate processes; potential for resource starvation<\/td>\n<\/tr>\n
Complexity<\/strong><\/td>\nLower operational complexity (one system)<\/td>\nHigher complexity (multiple systems to manage)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

When evaluating candidates, prioritize architectures that demonstrate resource isolation at the kernel level. This ensures that heavy analytical queries do not degrade the performance of critical transactional operations.<\/p>\n

The Non-Negotiables: Security, Compliance, and Data Residency in Malaysia<\/h2>\n

For Malaysian enterprises, data security and compliance are not optional features but foundational requirements. While Malaysia’s Personal Data Protection Act (PDPA) sets a baseline for data privacy, it does not create a blanket data-residency mandate for all sectors. However, industry-specific regulations in finance, healthcare, and government often impose stricter controls on data handling, auditing, and access.<\/p>\n

A fair evaluation framework must include non-negotiable security criteria:<\/p>\n

    \n
  1. Granular Access Control:<\/strong> The ability to enforce row-level and column-level security is essential for protecting sensitive patient or financial records.<\/li>\n
  2. Comprehensive Auditing:<\/strong> Detailed logs of all data access and modification events are required for regulatory compliance and forensic analysis.<\/li>\n
  3. Encryption:<\/strong> Data must be encrypted both at rest and in transit, with robust key management capabilities.<\/li>\n
  4. High Availability (HA):<\/strong> Systems must support fault coverage and zero-perception downtime to ensure business continuity.<\/li>\n<\/ol>\n

    Enterprise databases typically provide these capabilities through their commercial enterprise-grade security models. High availability solutions are generally designed to cover various fault scenarios, ensuring system stability and optimizing operational costs. When assessing vendors, verify their specific compliance certifications relevant to your industry, such as ISO 27001 or local government security standards, rather than relying on generic claims.<\/p>\n

    Performance Isolation: The Core Metric for Fair Evaluation<\/h2>\n

    The most critical technical criterion for a converged database<\/strong> is performance isolation. A common failure mode in hybrid systems is "noisy neighbor" syndrome, where a resource-intensive analytical query consumes all CPU or I\/O, causing transactional response times to spike.<\/p>\n

    To verify true convergence, you must test for performance isolation during your Proof of Concept (PoC). The evaluation should focus on the following metrics:<\/p>\n